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Michael Johannes Barz, M.Sc.

Organizational unit Interactive Machine Learning
Contact +49 681 85775 4819 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 3D-66123 Saarbrücken

Publications

Konstantin Kuznetsov; Sara-Jane Bittner; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2024), July 1-4, Cagliari, Italy, Pages 132-135, ISBN 979-8-4007-0466-6/24/07, ACM Digital Library, 7/2024.

To the publication

Abdulrahman Mohamed Selim; Maurice Rekrut; Michael Barz; Daniel Sonntag

In: Proceedings of the 2024 International Conference on Advanced Visual Interfaces. International Working Conference on Advanced Visual Interfaces (AVI-2024), June 3-7, Arenzano, Genoa, Italy, Pages 1-5, ISBN 9798400717642, Association for Computing Machinery, New York, NY, USA, 6/2024.

To the publication

Abdulrahman Mohamed Selim; Michael Barz; Omair Shahzad Bhatti; Hasan Md Tusfiqur Alam; Daniel Sonntag

In: Maria Chiara Caschera (Hrsg.). Frontiers in Artificial Intelligence (Front. Artif. Intell.), Vol. 7, Pages 1-28, Frontiers Media SA, Avenue du Tribunal-Fédéral 34 1005 Lausanne Switze, 6/2024.

To the publication

Profile

  • No-IDLE

    Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

    No-IDLE
  • MASTER

    MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

    Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

    MASTER
  • SciBot

    Data Science Chatbot: A text-based interface, that learns from experts to support experts

    The goal of this project is the development of efficient methods for analyzing and for learning to analyse the user behavior during interactions with an expert system. The considered scenario includes…

    SciBot
  • GeAR

    Gelingensbedingungen und Grundsatzfragen von Augmented Reality in experimentellen Lehr-Lernszenarien

    In Augmented Reality the real world is extended by additional information. Already common areas of application are navigation or the transmission of sports events such as football or ski jumping.…

    GeAR